Spaces:
Sleeping
Sleeping
File size: 1,955 Bytes
69d2e5c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
import streamlit as st
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import plotly.express as px
from PIL import Image
st.set_page_config(
page_title = 'Death Prediction'
)
def run():
# Membuat Title
st.title('Death Prediction Simulator')
#Sub header
st.subheader('EDA untuk analisa Dataset Death Prediction')
# Insert Gambar
#image = Image.open('')
#st.image(image, caption ='Death Prediction')
# Menambahkan Deskripsi
st.write('Page ini dibuat oleh Ferdiansyah Ersatiyo')
st.markdown('---')
#show dataframe
data = pd.read_csv('https://raw.githubusercontent.com/FerdiErs/SQL/main/h8dsft_P1G3_Ferdiansyah_Ersatiyo.csv')
st.dataframe(data)
#membuat barplot jenis kelamin
st.write('### Plot Sex')
fig = plt.figure(figsize=(10,5))
ax = sns.countplot(x='sex', data=data, palette=['b', 'r'])
ax.bar_label(ax.containers[0])
st.pyplot(fig)
#membuat histogram umur
st.write('### Histogram Umur')
fig = plt.figure(figsize=(10,5))
sns.histplot(data['age'],bins=20,kde=True)
st.pyplot(fig)
#membuat pie chart
st.write('### Pie Chart Smoking')
a= data.smoking.value_counts()
def autopct_format(values):
def my_format(pct):
total = sum(values)
val = int(round(pct*total/100.0))
return '{:.1f}%\n({v:d})'.format(pct, v=val)
return my_format
fig = plt.figure(figsize=(5,5))
a.plot.pie(subplots=True, autopct=autopct_format(a))
st.pyplot(fig)
# Membuat Histogram berdasarkan input user
st.write('### Histogram berdasarkan input user')
pilihan = st.selectbox('pilih column : ',['sex','smoking','diabetes', 'anaemia','high_blood_pressure'])
fig = plt.figure(figsize=(10,5))
ax = sns.countplot(x=data[pilihan])
ax.bar_label(ax.containers[0])
st.pyplot(fig)
if __name__== '__main__':
run() |